Title :
Tissue characterisation of coronary plaques using sparse feature vectors
Author :
Azetsu, Tadahiro ; Uchino, Eiji ; Furukawa, S. ; Suetake, Noriaki ; Hiro, T. ; Matsuzaki, M.
Author_Institution :
Yamaguchi Prefectural Univ., Yamaguchi, Japan
Abstract :
In a diagnosis of acute coronary syndrome, the tissue characterisation of coronary plaque is very important. A novel method is proposed for the tissue characterisation of coronary plaque by using a sparse coding. In the proposed method, an intravascular ultrasound backscattered radiofrequency (RF) signal is coded by the sparse coding, and the code patterns are used for the classification of a target tissue. Experiments have been performed to classify the tissues of coronary plaque into fibrous or lipid tissue by using these RF signals, which are observed from a rabbit coronary artery. The effectiveness of the proposed method has been verified by comparative studies with the conventional integrated backscatter analysis.
Keywords :
biomedical ultrasonics; blood vessels; diseases; feature extraction; image classification; image coding; medical image processing; ultrasonic imaging; acute coronary syndrome diagnosis; coronary plaque tissue characterisation; fibrous tissue; intravascular ultrasound backscattered RF signal; lipid tissue; rabbit coronary artery; signal coding; sparse coding; sparse feature vectors; target tissue classification;
Journal_Title :
Electronics Letters
DOI :
10.1049/el.2010.3454